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Anaconda Business vs Databricks comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 2, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.2
Anaconda Business enhances efficiency and decision-making, leading to reduced costs and improved project delivery for significant ROI.
Sentiment score
6.4
Users experience mixed returns with Databricks, noting cost efficiency and scalability but facing challenges with measuring monetary gains.
Everyone being able to work smoothly without unnecessary delays.
tester at a tech vendor with 10,001+ employees
I have seen a return on investment; specifically, when we talk about efficiency, it's both time-saving and money-saving.
Product managaer at Zidio development
I have seen a return on investment with time saved by 50% and less downtime, allowing the team to deliver projects faster with fewer errors.
Analyst at Tata consultancy services
For a lot of different tasks, including machine learning, it is a nice solution.
Senior Data Engineer at a logistics company with 51-200 employees
When it comes to big data processing, I prefer Databricks over other solutions.
Head CEO at bizmetric
 

Customer Service

Sentiment score
5.4
Anaconda Business offers prompt, helpful customer support, with users relying more on documentation and community resources like Stack Overflow.
Sentiment score
7.0
Databricks customer service is praised for prompt, professional support, though some report delays; documentation helps many users.
Anaconda Business customer support is very active with a quick response time.
System Engineer at a tech vendor with 10,001+ employees
Overall, support was reliable when we needed it, just not super-fast every single time.
tester at a tech vendor with 10,001+ employees
The customer support for Anaconda Business provides a better approach.
Product managaer at Zidio development
Whenever we reach out, they respond promptly.
Senior Data Engineer at a logistics company with 51-200 employees
As of now, we are raising issues and they are providing solutions without any problems.
Data Platform Architect at KELLANOVA
I rate the technical support as fine because they have levels of technical support available, especially partners who get really good support from Databricks on new features.
Data Engineer at CRAFT Tech
 

Scalability Issues

Sentiment score
6.7
Anaconda Business efficiently supports scalability, seamless expansion, and smooth performance for growing projects and teams in organizations.
Sentiment score
7.4
Databricks is praised for its scalability, elasticity, and auto-scaling, providing high performance and flexibility across industries.
As more environments or users get added, it still runs smoothly without major slowdowns.
tester at a tech vendor with 10,001+ employees
Anaconda Business scales very well because it is built around centralized environment and package management.
System Engineer at a tech vendor with 10,001+ employees
Anaconda does not have scalability restrictions as it depends on the type of machine running it.
VP Product at Medint
The sky's the limit with Databricks.
Governance And Engagement Lead
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
Senior Data Engineer at a logistics company with 51-200 employees
Databricks is an easily scalable platform.
Data Platform Architect at KELLANOVA
 

Stability Issues

Sentiment score
7.4
Anaconda Business is stable and efficient, offering reduced setup time and performance improvements despite minor memory and update issues.
Sentiment score
7.6
Databricks is highly rated for reliability and efficiency, with minor issues quickly resolved, boasting strong user stability scores.
Earlier, setting up or troubleshooting conflicts could take anywhere from thirty minutes to an hour, but now most setups just work.
tester at a tech vendor with 10,001+ employees
Anaconda Business is stable to an extent, but it sometimes crashes on systems with insufficient RAM.
Software Engineer at a financial services firm with 51-200 employees
They release patches that sometimes break our code.
Senior Data Engineer at a logistics company with 51-200 employees
Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.
Data Platform Architect at KELLANOVA
Databricks is definitely a very stable product and reliable.
Data Engineer at a tech vendor with 1,001-5,000 employees
 

Room For Improvement

Anaconda Business needs OS compatibility updates, user interface improvements, better documentation, and enhanced performance, stability, and functionality.
Databricks needs better visualization, integration, clearer errors, UI enhancements, wider platform support, and improved documentation and usability.
It would also be nice to have clearer error messages when something fails, so it is easier to understand what went wrong without digging too much.
tester at a tech vendor with 10,001+ employees
They should enhance the security point of view; it's good, but it needs some more advanced features.
Product managaer at Zidio development
The pricing should be a little lower for a single person to use, as it might be affordable for an organization, but for my single use, it is difficult.
Product Engineer at a tech vendor with 10,001+ employees
Adjusting features like worker nodes and node utilization during cluster creation could mitigate these failures.
Data Engineer at a engineering company with 1,001-5,000 employees
We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly.
Senior Data Engineer at a logistics company with 51-200 employees
We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.
Solution Architect at Mercedes-Benz AG
 

Setup Cost

Anaconda Business offers reasonable costs and broad compatibility, despite additional hardware expenses, maintaining satisfaction with free tool access.
Databricks' pricing varies widely based on usage and data volume, making it cost-effective yet potentially expensive for large-scale use.
Anaconda is an open-source tool, so I do not pay anything for it.
VP Product at Medint
My experience with pricing, setup cost, and licensing is that it is a little costly, but it is useful.
Automation Test Engineer at Tata Consultancy services Limited
My experience with pricing, setup cost, and licensing indicates that it is a bit costly, but it is useful.
Analyst at Tata consultancy services
It is not a cheap solution.
Data Platform Architect at KELLANOVA
I believe that in terms of credits for Databricks, we're spending between £15,000 and £20,000 a month.
Governance And Engagement Lead
 

Valuable Features

Anaconda Business enhances productivity with centralized management, security, multi-language support, and seamless Python and R integration.
Databricks excels in ease of use, scalability, integration, and data governance, enhancing productivity and collaboration for data engineering.
Anaconda Business has positively impacted my organization because, when discussing the security point of view, it's exceptional; when comparing it to other solutions, Anaconda Business is superior.
Product managaer at Zidio development
We find the advanced security, governance, and collaborative features for organizations using Python and R particularly useful.
Product Engineer at a tech vendor with 10,001+ employees
Anaconda Business positively impacts our organization by protecting us from compliance and security risks while keeping the environment consistent, allowing our team to focus on insight and innovation instead of worrying about setups, security, and software issues.
Analyst at Tata consultancy services
Databricks' capability to process data in parallel enhances data processing speed.
Data Engineer at a engineering company with 1,001-5,000 employees
The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.
Data Platform Architect at KELLANOVA
The Unity Catalog is for data governance, and the Delta Lake is to build the lakehouse.
Data Engineer at CRAFT Tech
 

Categories and Ranking

Anaconda Business
Ranking in Data Science Platforms
7th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
No ranking in other categories
Databricks
Ranking in Data Science Platforms
1st
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
92
Ranking in other categories
Cloud Data Warehouse (9th), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
 

Mindshare comparison

As of January 2026, in the Data Science Platforms category, the mindshare of Anaconda Business is 2.6%, up from 2.1% compared to the previous year. The mindshare of Databricks is 9.6%, down from 18.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
Databricks9.6%
Anaconda Business2.6%
Other87.8%
Data Science Platforms
 

Featured Reviews

reviewer2775498 - PeerSpot reviewer
tester at a tech vendor with 10,001+ employees
Isolate environments and switch package versions efficiently for smoother testing workflows
Overall, it works well, but there are a few things that could be better. Sometimes the environment creation or package installation feels a bit slow, especially with bigger libraries. Another thing I would appreciate is a cleaner, more intuitive interface for managing environments. It works, but a smoother UI could make the workflow faster. It would also be nice to have clearer error messages when something fails, so it is easier to understand what went wrong without digging too much. The documentation could be a bit clearer, especially for troubleshooting specific errors or setup issues. Sometimes I need to search extensively to find the exact steps. Also, having quicker or more detailed support responses would help when something unexpected comes up. These are not major problems, but improving them would definitely make the overall experience smoother. One small improvement I would add is smoother integration with IDEs. It works fine right now, but having even tighter or more automated syncing with tools such as VS Code or PyCharm would make the workflow faster. Perhaps also a few more built-in examples or quick-start guides for common setups would be helpful. Nothing major, just things that would make the experience even more user-friendly.
SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
University
11%
Manufacturing Company
8%
Computer Software Company
7%
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
9%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise2
Large Enterprise19
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise12
Large Enterprise56
 

Questions from the Community

What do you like most about Anaconda?
The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.
What is your experience regarding pricing and costs for Anaconda?
My experience with pricing, setup cost, and licensing is that it is a little costly, but it is useful.
What needs improvement with Anaconda?
I am still becoming familiar with Anaconda Business tools after using them for only two years, so I am not utilizing Anaconda Business extensively in data analysis and data science projects yet. I ...
Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...
 

Also Known As

No data available
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
 

Overview

 

Sample Customers

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Find out what your peers are saying about Anaconda Business vs. Databricks and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.